Systems and methods for hair analysis

a hair analysis and system technology, applied in the field of hair analysis systems, can solve problems such as failure to generalize for real life hair conditions, and achieve the effect of improving sensitivity and improving sensitivity to assess

Active Publication Date: 2021-11-18
PROCTER & GAMBLE CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The system achieves improved sensitivity in assessing real-life hair conditions, providing personalized product and style recommendations based on accurate hair analysis, enhancing the evaluation of consumer hair conditions.

Problems solved by technology

However, these methods, systems and assessments rely on predetermined information about the hair physical properties and appearance and thus fails to generalize for real life hair conditions.

Method used

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  • Systems and methods for hair analysis
  • Systems and methods for hair analysis

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[0049]The systems and methods herein preferably use a trained a deep neural network such as a CNN or DCN, to analyze hair conditions of a user by analyzing a captured image of the user. The CNN comprises multiple layers of neuron collections that use the same filters for each pixel in a layer. Using the same filters for each pixel in the various combinations of partially and fully connected layers reduces memory and processing requirements of the system.

[0050]In some instances, the system may include a preprocessing stage followed by a stage for CNN or DCN training and image analysis. During preprocessing, one or more facial and hair features common to most users, such as eyes, forehead, cheeks, nose, under eye region, outer eye region, nasolabial folds, lips, hair color, hair type e.g. curly, straight, or wavy, hair length, chronological age, lighting environment, hair falling back or hair in front, facial pose and portions of the images adjacent these features, (“anchor features”)...

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Abstract

Disclosed are hair analysis systems and methods comprising: (a) capturing an image of a user at as captured by a camera and sending the image to a hair analysis processor; (b) analyzing the user's hair condition at the hair analysis processor, based on the image from the camera by using an artificial learning model that is trained using a plurality of images of users that each feature one or more micro features of a respective user's hair, and providing an analysis result to a display; and (c) displaying at the display the analysis result to the user. The present invention provides the system and the method with an improved sensitivity.

Description

FIELD OF THE INVENTION[0001]The present application relates generally to hair analysis systems and methods comprising: (a) a step to capture an image of a user at an image capture unit and to send the image from the image capture unit to a hair analysis unit; (b) a step to analyze the user's hair condition at hair analysis unit, based on the image from the image capture unit by using a deep neural network, and to provide an analysis result to a display unit; and (c) a step to display at a display unit the analysis result to the user. The present invention provides the system and the method with an improved sensitivity.BACKGROUND OF THE INVENTION[0002]Assessing hair condition is of interest in order to understand, for example, the degree of damages caused to keratinaceous fibers. Such assessment is also of interest in order to demonstrate the efficacy of treatments used for preventing and / or repairing keratinaceous fiber damages. Several attempts for assessing keratinaceous fiber dam...

Claims

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Application Information

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Patent Type & AuthorityApplications(United States)
IPC IPC(8): A61B5/00G06Q30/06G06N3/02A45D44/00
CPCA61B5/448G06Q30/0631G06N3/02G06T7/0012A45D44/005A45D2044/007A61B5/0077G06T2207/20081G06T2207/20084G06N3/08G06N3/045
InventorPURWAR, ANKURSHERMAN, FAIZ FEISALKAINKARYAM, RAGHUNANDAN MELKOTE
OwnerPROCTER & GAMBLE CO